AI Product Owner
Posted 8 Oct 2026
Advertised as “Senior AI Product Owner”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 4+ yrs
- Management level
- People management
- Employment
- Remote
No salary listed for this role.
AI Product Owner
Location/Region
Latin America | 100% Remote
About CodeRoad
CodeRoad provides end-to-end software development services, helping businesses scale with ideal infrastructure solutions. From staff augmentation to dedicated IT teams and general software engineering, our nearshore technology services empower businesses to thrive in an ever-evolving digital landscape.
About the Role
As an AI Product Owner at CodeRoad, you will anchor the discovery, strategy, and execution of cutting-edge AI-powered solutions for our enterprise client. You will lead a high-performing cross-functional POD—comprising AI research, data engineering, front-end development, and DevOps talent—shaping raw business requirements into robust, production-grade LLM applications. Working at the intersection of AI orchestration, enterprise data access, and strict compliance environments, you will establish what "good" looks like by driving feature scope, quality evaluation benchmarks, and system performance standards.
This role is critical to successfully delivering secure, highly compliant, and scalable AI agents and RAG implementations. By bridging the gap between non-technical business leaders and technical engineering teams, you will turn complex AI capabilities into tangible business ROI while managing project roadmaps, risk mitigation strategies, and cloud consumption budgets.
Key Responsibilities
- Own the AI Product Backlog & Strategy: Identify, define, and prioritize AI use cases based on business value, technical feasibility, and data readiness, translating user needs into granular stories with rigorous acceptance criteria and edge-case handling.
- Establish AI Quality & Evaluation Frameworks: Collaborate with business experts to curate golden evaluation datasets, review agent outputs, monitor hallucination risks, and iterate on prompts, guardrails, and context retrieval systems to sign off on release readiness.
- Orchestrate Delivery Across Cross-Functional PODs: Anchor sprint planning, grooming, and release scoping with engineers and architects to balance rapid innovation with operational stability, cost control, and performance latency.
- Drive Stakeholder & Compliance Alignment: Serve as the primary contact for client leadership, running workshops, conducting feature demos, and securing necessary data-privacy and governance sign-offs in compliance-sensitive environments.
- Manage Project Operations & Risk Log: Proactively manage milestones, track cloud/LLM costs against budget, and maintain an updated risk register encompassing model drift, data latency, and infrastructure dependencies.